s3 = boto3_session.resource('s3', endpoint_url='http://localhost:9000')

with open('/etc/hosts', 'rb') as data:
    s3.meta.client.upload_fileobj(data,
                                  'testbucket',
                                  'hosts',
                                  ExtraArgs={'ServerSideEncryption': 'AES256'})

# Upload with server side encryption, using temporary credentials
s3.meta.client.upload_file('/etc/hosts',

						QuoteEscape:    '"',
						AlwaysQuote:    false,
					}
					// Write with fixed delimiters, newlines.
					err := record.WriteCSV(&result, opts)
					if err != nil {
						t.Error(err)
					}
				}
				fields++
			}
			r.Close()
			if err != io.EOF {
				t.Fatalf("Case %d failed with %s", i, err)
			}
			if !reflect.DeepEqual(r.columnNames, c.wantColumns) {

After having a Container (Docker) Image there are several ways to deploy it.

For example:

* With **Docker Compose** in a single server
* With a **Kubernetes** cluster
* With a Docker Swarm Mode cluster
* With another tool like Nomad
* With a cloud service that takes your container image and deploys it

## Docker Image with `uv`

      run: echo "$GITHUB_CONTEXT"
    - uses: actions/checkout@v4
    - name: Set up Python
      uses: actions/setup-python@v5
      with:
        python-version: "3.11"
    - name: Setup uv
      uses: astral-sh/setup-uv@v3
      with:
        version: "0.4.15"
        enable-cache: true
        cache-dependency-glob: |
            requirements**.txt
            pyproject.toml

[
  {
    "comment": "Label with hyphens in 3rd and 4th position",
    "input": "aa--",
    "output": "aa--"
  },
  {
    "input": "a†--",
    "output": "xn--a---kp0a"
  },
  {
    "input": "ab--c",
    "output": "ab--c"
  },
  {
    "comment": "Label with leading hyphen",
    "input": "-x",
    "output": "-x"
  },
  {
    "input": "-†",
    "output": "xn----xhn"
  },
  {
    "input": "-x.xn--zca",

 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *

 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *

If there's a security flaw in your code, it will still exist.

 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *

The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.

///

### About `**user_in.dict()`

#### Pydantic's `.dict()`

`user_in` is a Pydantic model of class `UserIn`.

Pydantic models have a `.dict()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like: